Book Image

Learning JavaScript Data Structures and Algorithms - Third Edition

Book Image

Learning JavaScript Data Structures and Algorithms - Third Edition

Overview of this book

A data structure is a particular way of organizing data in a computer to utilize resources efficiently. Data structures and algorithms are the base of every solution to any programming problem. With this book, you will learn to write complex and powerful code using the latest ES 2017 features. Learning JavaScript Data Structures and Algorithms begins by covering the basics of JavaScript and introduces you to ECMAScript 2017, before gradually moving on to the most important data structures such as arrays, queues, stacks, and linked lists. You will gain in-depth knowledge of how hash tables and set data structures function as well as how trees and hash maps can be used to search files in an HD or represent a database. This book serves as a route to take you deeper into JavaScript. You’ll also get a greater understanding of why and how graphs, one of the most complex data structures, are largely used in GPS navigation systems in social networks. Toward the end of the book, you’ll discover how all the theories presented in this book can be applied to solve real-world problems while working on your own computer networks and Facebook searches.
Table of Contents (22 chapters)
Title Page
Dedication
Packt Upsell
Contributors
Preface
Index

Summary


In this chapter, we learned about the queue data structure. We implemented our own algorithm that represents a queue, and we learned how to add and remove elements from it using the enqueue and dequeue methods following the FIFO principle. We also learned about the deque data structure, how to add elements to the front and the back of the deque, and how to remove elements from the front or the back of the deque.

We also covered how to solve two famous problems using the queue and deque data structures: the Hot Potato game (using a modified queue: the circular queue) and a palindrome checker using a deque.

In the next chapter, we will learn about linked lists, a dynamic and more complex data structure.